Oğretmenoğlu Oğuz, Süslü Ahmet Emre, Yücel Omer Taşkin, Onerci Tevfik Metin, Sahin Altay
Department of Otorhinolaryngology, Head and Neck Surgery, Hacettepe University Faculty of Medicine, 06100 Hacettepe, Ankara, Turkey.
Laryngoscope. 2005 Aug;115(8):1493-8. doi: 10.1097/01.mlg.0000172204.82314.c3.
To investigate body fat composition, measured by bioelectrical impedance assay (BIA), for predicting the presence and severity of obstructive sleep apnea-hypopnea syndrome (OSAHS). Body fat composition was also compared with other well-known OSAHS predictors such as body mass index (BMI), neck circumference, and abdominal visceral fat.
A prospective study was designed. Fifty-one patients (41 male, 10 female), who were referred to Hacettepe University Faculty of Medicine, Department of Otorhinolaryngology, Head and Neck Surgery with suspected OSAHS, between April 2003 and June 2004, were included in the study.
All patients underwent polysomnography (PSG) and were classified according to their apnea-hypopnea index (AHI) into four groups. The cross-sectional area of abdominal visceral fat was measured by computed tomography (CT) scanning in 33 of the patients. Neck circumference and BMI was measured for all patients. BIA was performed to determine body fat composition. The groups were compared, and correlation of the variables with AHI was investigated.
Of the variables, BMI and percentage of body fat (determined by BIA) were found to be significantly correlated with AHI (r = 0.782, r = 0.647). CT of cross-sectional area of abdominal visceral fat provided 100% sensitivity and specificity (P < .001) in differentiating simple snorers from OSAHS patients. By combining percentage of body fat and body fat mass, higher levels of sensitivity (95%) and specificity (100%) were achieved for diagnosis of OSAHS.
It was concluded that the BIA could be an inexpensive and practical alternative to prePSG screening tests and should be included in the evaluation of OSAHS patients.
通过生物电阻抗分析（BIA）测量身体脂肪成分，以预测阻塞性睡眠呼吸暂停低通气综合征（OSAHS）的存在及严重程度。还将身体脂肪成分与其他著名的OSAHS预测指标如体重指数（BMI）、颈围和腹部内脏脂肪进行比较。
设计了一项前瞻性研究。纳入了2003年4月至2004年6月间因疑似OSAHS转诊至哈杰泰佩大学医学院耳鼻咽喉头颈外科的51例患者（41例男性，10例女性）。
所有患者均接受多导睡眠图（PSG）检查，并根据其呼吸暂停低通气指数（AHI）分为四组。33例患者通过计算机断层扫描（CT）测量腹部内脏脂肪的横截面积。测量所有患者的颈围和BMI。进行BIA以确定身体脂肪成分。对各组进行比较，并研究变量与AHI的相关性。
在这些变量中，发现BMI和身体脂肪百分比（由BIA测定）与AHI显著相关（r = 0.782，r = 0.647）。腹部内脏脂肪横截面积的CT在区分单纯打鼾者和OSAHS患者方面提供了100%的敏感性和特异性（P <.001）。通过结合身体脂肪百分比和身体脂肪量，在诊断OSAHS时实现了更高的敏感性（95%）和特异性（100%）。
得出结论，BIA可以作为PSG前筛查测试的一种廉价且实用的替代方法，应纳入OSAHS患者的评估中。
